소스

from transformers import MarianMTModel, MarianTokenizer
import torch

model_path = "/home/ppusari/python_venv/down"

tokenizer = MarianTokenizer.from_pretrained(model_path, src_lang="en", tgt_lang="ko")
model = MarianMTModel.from_pretrained(model_path)
device = torch.device("cpu")
model.to(device)

def translate_en_to_ko(sentences):
inputs = tokenizer(sentences, return_tensors="pt", padding=True, truncation=True).to(device)
outputs = model.generate(**inputs, max_length=512)
translated = [tokenizer.decode(t, skip_special_tokens=True) for t in outputs]
return translated

sentences = ["Hello, how are you?", "This is an offline translation test.", "I love programming and AI."]
results = translate_en_to_ko(sentences)
for src, tgt in zip(sentences, results):
print(f"EN: {src}")
print(f"KO: {tgt}")

결과

EN: Hello, how are you?
KO: , pleasing 신뢰할 수 있는 일반에 대 한

EN: This is an offline translation test.
KO: PI 인기 역사、Bubble.

EN: I love programming and AI.
KO: US 92호선 종착역.

문의사항

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